code: def lp_decode(self, z, pos_edge_index, neg_edge_index):
      edge_index = torch.cat([pos_edge_index, neg_edge_index], dim=-1)
      logits = (z[edge_index[0]] * z[edge_index[1]]).sum(dim=-1)
      return logits
  
file_path: AutoGL/autogl/module/model/dgl/gat.py
imports: import torch
  import torch.nn.functional
  from dgl.nn.pytorch.conv import GATConv
  from .None import register_model
  from .base import BaseAutoModel, activate_func
  from ....utils import get_logger
label_desc: Use image node_id 4 for calling the GAT obj's underlying member method code with example usage: obj.lp_decode(z, pos_edge_index, neg_edge_index) and returns: logits